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Single-sweep analysis of event-related potentials by wavelet networks-methodological basis and clinical application
Journal article   Peer reviewed

Single-sweep analysis of event-related potentials by wavelet networks-methodological basis and clinical application

Hartmut Heinrich, Hartmut Dickhaus, Aribert Rothenberger, Verena Heinrich and Gunther Moll
IEEE transactions on biomedical engineering, Vol.46(7), pp.867-879
01/07/1999
DOI: https://doi.org/10.1109/10.771199
PMID: 10396905

Abstract

Acoustic signal processing Algorithms Bandpass filters Electroencephalography Neurophysiology Psychophysiology Signal to noise ratio
To overcome the disadvantages of existing single-sweep estimators, a new procedure based on wavelet networks (WNs) was developed and used to examine the deficit hyperactivity disorder (ADHD) in children. Latency and amplitude parameters extracted from averaged event-related potentials (ERPs) did not reveal any significant differences between 25 control and 25 ADHD boys. In contrast, interesting group-specific differences were established by WN single-sweep analysis.

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